{"files"=>["https://ndownloader.figshare.com/files/4833550"], "description"=>"<div><p>Dryland pastoralism has long attracted considerable attention from researchers in diverse fields. However, rigorous formal study is made difficult by the high level of mobility of pastoralists as well as by the sizable spatio-temporal variability of their environment. This article presents a new computational approach for studying mobile pastoralism that overcomes these issues. Combining multi-temporal satellite images and agent-based modeling allows a comprehensive examination of pastoral resource access over a realistic dryland landscape with unpredictable ecological dynamics. The article demonstrates the analytical potential of this approach through its application to mobile pastoralism in northeast Nigeria. Employing more than 100 satellite images of the area, extensive simulations are conducted under a wide array of circumstances, including different land-use constraints. The simulation results reveal complex dependencies of pastoral resource access on these circumstances along with persistent patterns of seasonal land use observed at the macro level.</p></div>", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110422, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Computational_Research_on_Mobile_Pastoralism_Using_Agent_Based_Modeling_and_Satellite_Imagery/3110422", "title"=>"Computational Research on Mobile Pastoralism Using Agent-Based Modeling and Satellite Imagery", "pos_in_sequence"=>1, "defined_type"=>6, "published_date"=>"2016-03-10 09:40:16"}

{"files"=>["https://ndownloader.figshare.com/files/4833805"], "description"=>"<p>The seasonal land-use maps with the corresponding kappa statistics (top row), the means of the ROUTE ranges (bottom left), and the means of the resources available to NOMADs (bottom right) are displayed. The kappa statistics were calculated by setting the land-use threshold to 0.01. These graphs, which are similar to Figs <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.g009\" target=\"_blank\">9</a> and <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.g011\" target=\"_blank\">11</a>, were derived from simulations that were conducted with different values of DISRUPTION EFFECT; otherwise, the settings were identical to the baseline condition.</p>", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110635, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g013", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Effects_of_tsetse_flies_on_the_model_/3110635", "title"=>"Effects of tsetse flies on the model.", "pos_in_sequence"=>14, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}

{"files"=>["https://ndownloader.figshare.com/files/4833652"], "description"=>"<p>These 12 maps were derived from 20 baseline runs. The parameters were given the values that are underlined in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0151157#pone.0151157.t001\" target=\"_blank\">Table 1</a>. In each of the maps, the whiter pixels indicate the sites that have a larger presence of NOMADs in the corresponding month. In this example, the maximum number of agents per pixel per year is approximately 0.798, which was recorded in June.</p>", "links"=>[], "tags"=>["simulation", "resource access", "approach", "circumstance", "Satellite Imagery Dryland pastoralism", "article", "100 satellite images"], "article_id"=>3110512, "categories"=>["Cell Biology", "Biotechnology", "Environmental Sciences not elsewhere classified", "Biological Sciences not elsewhere classified", "Information Systems not elsewhere classified"], "users"=>["Takuto Sakamoto"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0151157.g006", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Monthly_distribution_of_land_use_intensity_baseline_/3110512", "title"=>"Monthly distribution of land-use intensity (baseline).", "pos_in_sequence"=>7, "defined_type"=>1, "published_date"=>"2016-03-10 09:40:16"}